New Approaches to Classification and Diagnostic Prediction of Breast Cancers PDF Download
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Author: Aleix Prat
Publisher: Frontiers Media SA
ISBN: 2889637964
Category :
Languages : en
Pages : 187
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Book Description
Despite many years of translational research in breast cancer, very few new biomarkers have been implemented for clinical use beyond estrogen receptor, progesterone receptor, and HER2. The main reason is that many promising biomarkers are clinically validated but lack analytical and clinical utility. One explanation is that proper validation of the predictive ability of the biomarker in independent datasets, and with a pre-planned statistical analysis, is not always performed. Thus, there is a need to identify new biomarkers or new ways to subclassify breast cancer patients that are reproducible and easy to implement in the clinical setting but, more importantly, that improve patient’s outcomes.
Author: Aleix Prat
Publisher: Frontiers Media SA
ISBN: 2889637964
Category :
Languages : en
Pages : 187
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Book Description
Despite many years of translational research in breast cancer, very few new biomarkers have been implemented for clinical use beyond estrogen receptor, progesterone receptor, and HER2. The main reason is that many promising biomarkers are clinically validated but lack analytical and clinical utility. One explanation is that proper validation of the predictive ability of the biomarker in independent datasets, and with a pre-planned statistical analysis, is not always performed. Thus, there is a need to identify new biomarkers or new ways to subclassify breast cancer patients that are reproducible and easy to implement in the clinical setting but, more importantly, that improve patient’s outcomes.
Author: Pratheep Kumar
Publisher: Infinite Study
ISBN:
Category : Mathematics
Languages : en
Pages : 11
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Book Description
Decision tree algorithm is one of the algorithm which is easily understandable and interpretable algorithm used in both training and application purpose during breast cancer prognosis. To address this problem, Random Decision Forests are proposed. In this manuscript, the breast cancer classification can be determined by combining the advantages of Feature Weight and Hyper Parameter Tuned Random Decision Forest classifier
Author: Aamir Ahmad
Publisher: Springer Nature
ISBN: 3030203018
Category : Medical
Languages : en
Pages : 432
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Book Description
Resistance to therapies, both targeted and systemic, and metastases to distant organs are the underlying causes of breast cancer-associated mortality. The second edition of Breast Cancer Metastasis and Drug Resistance brings together some of the leading experts to comprehensively understand breast cancer: the factors that make it lethal, and current research and clinical progress. This volume covers the following core topics: basic understanding of breast cancer (statistics, epidemiology, racial disparity and heterogeneity), metastasis and drug resistance (bone metastasis, trastuzumab resistance, tamoxifen resistance and novel therapeutic targets, including non-coding RNAs, inflammatory cytokines, cancer stem cells, ubiquitin ligases, tumor microenvironment and signaling pathways such as TRAIL, JAK-STAT and mTOR) and recent developments in the field (epigenetic regulation, microRNAs-mediated regulation, novel therapies and the clinically relevant 3D models). Experts also discuss the advances in laboratory research along with their translational and clinical implications with an overarching goal to improve the diagnosis and prognosis, particularly that of breast cancer patients with advanced disease.
Author: Sara Hurvitz
Publisher: Elsevier Health Sciences
ISBN: 0323581234
Category : Medical
Languages : en
Pages : 265
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Book Description
Get a quick, expert overview of clinically-focused topics and guidelines that are relevant to testing for HER2, which contributes to approximately 25% of breast cancers today. This concise resource by Drs. Sara Hurvitz, and Kelly McCann consolidates today's available information on this growing topic into one convenient resource, making it an ideal, easy-to-digest reference for practicing and trainee oncologists. - Covers the diagnosis, treatments and targeted therapies, and management of breast cancers that are HER2-positive. - Contains sections on background and testing, advanced disease, therapeutics, and toxicity considerations. - Includes a timely section on innovative future therapies.
Author: David Riaño
Publisher: Springer
ISBN: 303021642X
Category : Computers
Languages : en
Pages : 431
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Book Description
This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.
Author: Sunil Badve
Publisher: Springer
ISBN: 3319417614
Category : Medical
Languages : en
Pages : 427
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Book Description
The complex landscape of breast cancer requires distinct strategies for the management of various molecular subtypes of this disease. Rapid advances in the field of molecular biology have been bewildering for those involved in its study and management. “Molecular Pathology of Breast Cancer” aims to close this knowledge gap by discussing comprehensively the evolution, biological basis and clinical applications with a focus on the “what, when, and how” of the most significant molecular markers known to date. These markers are evaluated in the context of genomic, transcriptomic and proteomic profiles, which is integral to the practice of precision medicine. The application of next generation sequencing (NGS) has provided new insights in the regulation of genomic and transcriptomic structure and function. Alterations in DNA such as mutations and single nucleotide polymorphisms (SNPs) have been correlated with outcomes and provide for novel therapeutic approaches. These NGS analyses have also revealed the extensive contributions of epigenetic mechanisms such as histone modifications, non-coding RNA and alternative splicing. All of these changes together contribute to alterations in proteome. Newer assays that allow greater stability and analytical consistency are emerging. These alterations in tumor profiles can be also now detected by imaging techniques. The heterogeneity of both tumor and tumor microenvironment, an inevitable reality, is discussed in detail with particular focus on cancer stem cells and immune signaling. A chapter is dedicated to the emerging technology of “liquid biopsy”, which opens a novel approach for “continuous” monitoring of cancer that might be superior to conventional diagnostics, “Molecular Pathology of Breast Cancer” provides a quick and easy, not to mention essential, tour for clinicians, pathologists and scientists who are seeking to understand the integration of molecular biology into the diagnosis, prognosis and management of breast cancer.
Author: Shigeyuki Matsui
Publisher: Springer
ISBN: 981100126X
Category : Medical
Languages : en
Pages : 439
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Book Description
This book presents the state of the art of biostatistical methods and their applications in clinical oncology. Many methodologies established today in biostatistics have been brought about through its applications to the design and analysis of oncology clinical studies. This field of oncology, now in the midst of evolution owing to rapid advances in biotechnologies and cancer genomics, is becoming one of the most promising disease fields in the shift toward personalized medicine. Modern developments of diagnosis and therapeutics of cancer have also been continuously fueled by recent progress in establishing the infrastructure for conducting more complex, large-scale clinical trials and observational studies. The field of cancer clinical studies therefore will continue to provide many new statistical challenges that warrant further progress in the methodology and practice of biostatistics. This book provides a systematic coverage of various stages of cancer clinical studies. Topics from modern cancer clinical trials include phase I clinical trials for combination therapies, exploratory phase II trials with multiple endpoints/treatments, and confirmative biomarker-based phase III trials with interim monitoring and adaptation. It also covers important areas of cancer screening, prognostic analysis, and the analysis of large-scale molecular data in the era of big data.
Author: Mostafa Ezziyyani
Publisher: Springer Nature
ISBN: 3031543181
Category : Artificial intelligence
Languages : en
Pages : 441
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Book Description
Zusammenfassung: This book is a comprehensive compilation of groundbreaking insights stemming from the esteemed International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023), hosted at Cadi Ayyad University Morocco. Focused on the crucial themes of energy, environment, agriculture, and industry, this book captures the essence of transformative discussions and cutting-edge research that unfolded during the conference. Within these pages, readers are invited to explore the intricate world of intelligent systems, where innovation converges to tackle the key challenges of sustainability. The book immerses its audience in a wealth of knowledge that deeply represents the latest advancements shaping the future landscape. Diverse topics are intricately woven into the fabric of this discourse, covering AI-driven solutions designed for energy optimization, environmental sustainability, precision agriculture, and intelligent industry applications. Each contribution serves as a testament to the collaborative efforts of researchers, practitioners, and experts who gathered to drive innovation at the intersection of intelligent systems and sustainable development. Crafted as an invaluable resource, 'Advancements in Intelligent Systems: AI2SD'2023 Proceedings' caters to a diverse readership eager to delve into the forefront of trends and developments emerging from the crossroads of advanced intelligent systems in energy, environment, agriculture, and industry. Whether you're a researcher, practitioner, or enthusiast, unlock the transformative potential inherent in these innovative domains
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309165946
Category : Medical
Languages : en
Pages : 384
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Book Description
The outlook for women with breast cancer has improved in recent years. Due to the combination of improved treatments and the benefits of mammography screening, breast cancer mortality has decreased steadily since 1989. Yet breast cancer remains a major problem, second only to lung cancer as a leading cause of death from cancer for women. To date, no means to prevent breast cancer has been discovered and experience has shown that treatments are most effective when a cancer is detected early, before it has spread to other tissues. These two facts suggest that the most effective way to continue reducing the death toll from breast cancer is improved early detection and diagnosis. Building on the 2001 report Mammography and Beyond, this new book not only examines ways to improve implementation and use of new and current breast cancer detection technologies but also evaluates the need to develop tools that identify women who would benefit most from early detection screening. Saving Women's Lives: Strategies for Improving Breast Cancer Detection and Diagnosis encourages more research that integrates the development, validation, and analysis of the types of technologies in clinical practice that promote improved risk identification techniques. In this way, methods and technologies that improve detection and diagnosis can be more effectively developed and implemented.
Author: Michael Fuchsjäger
Publisher: Springer Nature
ISBN: 3030949184
Category : Medical
Languages : en
Pages : 453
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Book Description
This superbly illustrated book provides a thorough, up-to-date overview of diagnostic breast imaging and therapy. Drs. Elizabeth Morris, Michael Fuchsjäger, and Thomas Helbich, three experts in the field, have collaborated with colleagues from their institutions and selected medical centers to share their expertise. The coverage ranges from basic information on imaging technologies and interventional equipment and how to use them optimally to the application of advanced high-end techniques for screening and assessment in any given professional environment. Readers will find clear instruction on the various breast interventional procedures guided by stereotaxis, ultrasound, and magnetic resonance imaging in wide clinical use. The management of patients with ductal carcinoma in situ and high-risk breast cancer is considered separately. Furthermore, the role of minimally invasive therapy is examined, and advice is provided on post-therapy evaluation, including breast implants. A comprehensive diagnostic atlas with hundreds of images completes this volume and addresses the spectrum of various clinical situations.
